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CLC number: TP312; TP217.4
On-line Access: 2018-09-04
Received: 2018-03-20
Revision Accepted: 2018-07-02
Crosschecked: 2018-07-13
Cited: 0
Clicked: 6149
Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication
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Xiao-long Shen, Yong Dou, Steven Mills, David M Eyers, Huan Feng, Zhiyi Huang. Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(7): 889-904.
@article{title="Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication",
author="Xiao-long Shen, Yong Dou, Steven Mills, David M Eyers, Huan Feng, Zhiyi Huang",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="7",
pages="889-904",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800173"
}
%0 Journal Article
%T Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication
%A Xiao-long Shen
%A Yong Dou
%A Steven Mills
%A David M Eyers
%A Huan Feng
%A Zhiyi Huang
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 7
%P 889-904
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800173
TY - JOUR
T1 - Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication
A1 - Xiao-long Shen
A1 - Yong Dou
A1 - Steven Mills
A1 - David M Eyers
A1 - Huan Feng
A1 - Zhiyi Huang
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 7
SP - 889
EP - 904
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1800173
Abstract: sparse bundle adjustment (SBA) is a key but time- and memory-consuming step in three-dimensional (3D) reconstruction. In this paper, we propose a 3D point-based distributed SBA algorithm (DSBA) to improve the speed and scalability of SBA. The algorithm uses an asynchronously distributed sparse bundle adjustment (A-DSBA) to overlap data communication with equation computation. Compared with the synchronous DSBA mechanism (S-DSBA), A-DSBA reduces the running time by 46%. The experimental results on several 3D reconstruction datasets reveal that our distributed algorithm running on eight nodes is up to five times faster than that of the stand-alone parallel SBA. Furthermore, the speedup of the proposed algorithm (running on eight nodes with 48 cores) is up to 41 times that of the serial SBA (running on a single node).
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